AI agent use case
Publish bounded tools and approved business context for agents without embedding raw source credentials, schemas, and change cycles in every agent.
Agent tool policy tester
Change the requested operation to inspect the bounded tool, policy result, response, and provenance.
Select an agent operation.
Lookup inventory
Lookup inventory
The agent receives current inventory context through a purpose-built tool without raw source credentials.
Result and contract
Source systems
Consumers
Adjust inventory
Adjust inventory
The simulated tool excludes inventory adjustment, so the request stops at the API product boundary.
Result and contract
Consumers
Guided explanation
The customer problem
Agents need current enterprise context and operations, but direct source access expands credential, schema, policy, and change risk.
Why it becomes difficult
Each source exposes different permissions and semantics, while agents need predictable tools with clear limits and provenance.
What a better model looks like
Publish purpose-built agent APIs that describe allowed operations, data boundaries, ownership, and response provenance.
How Apyrn helps
Apyrn creates governed API products over eligible sources and applies mapping, composition, policy, and observability at the interface layer.
What this enables
Give agents stable tools rather than source credentials.
Make operations and provenance inspectable.
Reuse the same governed business contracts across agents and applications.
Consumers
Business API accelerators
Related solutions
Purpose-built agent APIs make allowed operations, response fields, policy, ownership, version, and provenance explicit at the interface boundary.